All Outputs (3)

Underwater localization using SAR satellite data. (2024)
Presentation / Conference Contribution
MUHAMMAD, A., FOUGH, N., KANNAN, S. and ZAHRIBAN HESARI, M. 2024. Underwater localization using SAR satellite data. In Proceedings of the 2024 IEEE (Institute of Electrical and Electronics Engineers) International workshop on metrology for industry 4.0 and IoT (IEEE MetroInd4.0&IoT 2024), 29-31 May 2024, Florence, Italy. Piscataway: IEEE [online], pages 82-87. Available from: https://doi.org/10.1109/MetroInd4.0IoT61288.2024.10584174

This study delves into the realm of Underwater Wireless Sensor Networks (UWSN) and explores contemporary methods of ocean exploration. It provides an extensive background on UWSN, detailing existing approaches to underwater localization. The study th... Read More about Underwater localization using SAR satellite data..

Contextual lexicon-based sentiment analysis for social media. (2016)
Thesis
MUHAMMAD, A.B. 2016. Contextual lexicon-based sentiment analysis for social media. Robert Gordon University, PhD thesis.

Sentiment analysis concerns the computational study of opinions expressed in text. Social media domains provide a wealth of opinionated data, thus, creating a greater need for sentiment analysis. Typically, sentiment lexicons that capture term-sentim... Read More about Contextual lexicon-based sentiment analysis for social media..

Contextual sentiment analysis for social media genres. (2016)
Journal Article
MUHAMMAD, A., WIRATUNGA, N. and LOTHIAN, R. 2016. Contextual sentiment analysis for social media genres. Knowledge-based systems [online], 108, pages 92-101. Available from: https://doi.org/10.1016/j.knosys.2016.05.032

The lexicon-based approaches to opinion mining involve the extraction of term polarities from sentiment lexicons and the aggregation of such scores to predict the overall sentiment of a piece of text. It is typically preferred where sentiment labelle... Read More about Contextual sentiment analysis for social media genres..